首页|新疆维吾尔族农村居民Non-HDL-C、ApoB和LDL-C水平与MS患病关系及其预测价值比较

新疆维吾尔族农村居民Non-HDL-C、ApoB和LDL-C水平与MS患病关系及其预测价值比较

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目的 了解新疆维吾尔族农村居民非高密度脂蛋白胆固醇(Non-HDL-C)、载脂蛋白B(ApoB)和低密度脂蛋白胆固醇(LDL-C)水平与代谢综合征(MS)患病的关系及其预测价值,为早期识别和预防新疆维吾尔族居民的MS提供参考依据.方法 于2017年7-8月采用多阶段随机整群抽样方法在新疆喀什地区12个村抽取6500名≥ 18岁维吾尔族农村居民进行问卷调查、体格检查和实验室检测,采用多因素非条件logistic回归分析和受试者工作特征曲线(ROC)分析Non-HDL-C、ApoB和LDL-C与MS患病的关系并评估各指标对MS的预测价值.结果 本次调查最终纳入分析的5 156名新疆维吾尔族农村居民中,患MS者885例,MS患病率为17.2%;在调整了性别、年龄、文化程度、吸烟情况、饮酒情况和体质指数水平等混杂因素后,多因素非条件logistic回归分析结果显示,新疆维吾尔族Non-HDL-C最高四分位数组农村居民MS患病风险为最低四分位数组农村居民的1.764倍(OR=1.764,95%CI=1.350~2.305),ApoB第三四分位数组和最高四分位数组农村居民MS患病风险分别为最低四分位数组农村居民的1.372倍(OR=1.372,95%CI=1.048~1.798)和1.645倍(OR=1.645,95%CI=1.273~2.124),LDL-C最高四分位数组农村居民MS患病风险为最低四分位数组农村居民的1.403倍(OR=1.403,95%CI=1.080~1.823);ROC分析结果显示,新疆维吾尔族农村居民 Non-HDL-C、ApoB和 LDL-C评价MS 的ROC 曲线下面积(AUC)分别为 0.654(0.641~0.667)、0.608(0.595~0.622)和0.612(0.592~0.633),Non-HDL-C的AUC均高于ApoB和LDL-C(均P<0.05).结论 新疆维吾尔族农村居民MS患病水平较高,Non-HDL-C在该民族农村居民中与MS患病的相关性和预测价值均高于ApoB和LDL-C.
Association and predictive value of Non-HDL-C,ApoB,and LDL-C with metabolic syndrome among adult rural Uyghur residents:a cross-sectional survey in Xinjiang Uygur Autonomous Region
Objective To explore the association and predictive value of non-high-density lipoprotein cholesterol(Non-HDL-C),apolipoprotein B(ApoB)and low-density lipoprotein cholesterol(LDL-C)with metabolic syndrome(MS)in adult rural residents of Xinjiang Uygur Autonomous Region for facilitating early identification and prevention of MS in the residents.Methods The study enrolled 6 500 Uygur residents aged ≥ 18 years from 12 villages in the Kashgar region of Xinjiang Uygur Autonomous Region(Xinjiang)using a multistage random cluster sampling method.Face-to-face interviews were conducted during July-August 2017 using a self-designed questionnaire,along with physical examinations and laboratory tests.Unconditional multivariate logistic regression analysis and receiver operating characteristic(ROC)curve analysis were employed to assess the association between Non-HDL-C,ApoB,and LDL-C with MS,as well as to evaluate their predictive value for MS.Results The analysis finally included a total of 5 156 participants,among whom 885(17.2%)were identified as having MS.After adjusting for potential confounding factors including gender,age,education,smoking status,alcohol consumption,and body mass index,the results of multivariate unconditional logistic regression analysis revealed a significantly increased risk of MS among participants in the highest quartile ofNon-HDL-C levels(odds ratio[OR]=1.764;95%confidence interval[CI]:1.350-2.305).Similarly,participants in the third and highest quartiles of ApoB had a higher risk compared to those in the lowest quartile(OR=1.372;9 5%CI:1.048-1.798 and OR=1.645;95%CI:1.273-2.124 respectively).Additionally,individuals in the highest quartile of LDL-C had an elevated risk compared to those in the lowest quartile(OR=1.403;95%CI:1.080-1.823).The receiver operating characteristic(ROC)analysis results revealed that Non-HDL-C,ApoB,and LDL-C had area under the curve(AUC)values of 0.654(95%CI:0.641-0.667),0.608(95%CI:0.595-0.622),and 0.612(95%CI:0:592-0.633),respectively,as diagnostic indicators for metabolic syndrome in the study participants.Furthermore,Non-HDL-C demonstrated a significantly higher AUC compared to both ApoB and LDL-C(both P<0.05).Conclusion The prevalence of MS is relatively high among adult Uygur residents in rural Xinjiang,and Non-HDL-C demonstrates a stronger correlation and predictive value for MS compared to ApoB and LDL-C.

metabolic syndromenon-high-density lipoprotein cholesterolapolipoprotein Blow-density lipoprotein cholesterolrelationshippredictive valueUighur ethnicity in Xinjiangrural residents

高世鹏、郭淑霞、李毓、马儒林、郭恒、胡云华、木拉提别克·克尔曼、张向辉、王馨平、周杨博、廖佳丽、何佳

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石河子大学医学院预防医学系,石河子 832000

重要新发传染病防控与公共卫生安全新疆生产建设兵团重点实验室,石河子 832000

代谢综合征(MS) 非高密度脂蛋白胆固醇(Non-HDL-C) 载脂蛋白B(ApoB) 低密度脂蛋白胆固醇(LDL-C) 关系 预测价值 新疆维吾尔族 农村居民

国家科技支撑计划石河子大学高层次人才科研启动基金石河子大学青年创新培育人才项目

2009BAI82B04RCZK202367CXPY202004

2024

中国公共卫生
中华预防医学会

中国公共卫生

CSTPCD北大核心
影响因子:1.404
ISSN:1001-0580
年,卷(期):2024.40(3)
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